• DocumentCode
    2556462
  • Title

    Economic forecasting research based on artificial neural network technology

  • Author

    Fang-yuan, Lu ; Feng-you, Gao

  • Author_Institution
    Bus. Sch., Zhengzhou Univ., Zhengzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    1151
  • Lastpage
    1155
  • Abstract
    Some essential parameter choices which key to the neural network performance have been researched, such as the network architecture, the initial weight value, the learning rate, the training algorithm With an example; it explains how the forecast has been carried on using the neural network technology. The result indicates that, the neural network technology applied in the economic forecasting, can overcome the shortcoming of traditional statistical analysis forecast model, and may achieve higher forecast precision.
  • Keywords
    economic forecasting; neural nets; artificial neural network technology; economic forecasting research; network architecture; statistical analysis forecast model; Artificial neural networks; Economic forecasting; Algorithm; Artificial Neural Networks; Economic Forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597495
  • Filename
    4597495